Big Data Tools

Big data is a concept that describes a large volume of data – both structured and unstructured. Such data is mostly recovered from business, departmental or organizational transactions that occur on a day-to-day basis.  However, the importance of data is not in its presence but the possibilities which can be explored by utilizing that data.  Big data can be analyzed for insights that lead to better decisions and strategies.  It requires the use of software tools for analyzing, processing and extracting data from extremely complex data sets. SGS Technologie recognizes this as we are a big data consulting and service offering company in Florida.  This post shares some of the tools and technologies we use, that can be regarded as among the top five big data technologies.

Apache Storm    

Apache Storm is a real-time distributed tool for processing data streams. It is written in Java and Clojure and can be integrated with any programming language. Apache Storm is incredibly fast, with the ability to process over a million records per second per node. This speed can be used and combined with other data access applications in Hadoop to block unexpected events or to optimize positive outcomes.

MongoDB

This is an open-source NoSQL database. MongoDB can be used that as an alternative to modern databases. Its core advantage is that MongDB is a document-oriented database and can be used for storing large volumes of data. Documents and collections can be used in place of rows in addition to columns.  MongoDB also supports many ad-hoc queries that include field name searches, regular expressions and range queries. 

Cassandra    

It is a distributed database management system that can handle large volumes of data across several servers. This is one of the most popular Big Data technologies which is preferred for processing structured data sets. Data can also be replicated across multiple data centers. This ensures the retrieval of data from other centers, even if data is lost or damaged in one data center.

R Programming

R is an open-source programming language that offers a dynamic development environment. Being open-source, R is a variety of built-in statistical commands. It enables the great performance of multiple statistical operations. In addition, the R language helps in generating the results of data analysis in graphical as well as text format. 

Cloudera:

This scalable platform allows you to get data from any environment very easily. It offers real-time insights for data monitoring and detection. Cloudera can be deployed across multiple platforms such as AWS, Google Cloud and Microsoft Azure.  The ability to spin or terminate data clusters ensures that you pay only for what you need and when you require it.

These are some of the many tools that can be used as part of Big Data technologies. SGS Technologie has immense expertise along with experience in using them. Reach out to us for a quick discussion on which technology will be most suitable for your big data requirements. SGS is headquartered in Jacksonville and has offices in Tallahassee (FL), Tampa (FL), Miami (FL) as well as in Frisco (TX).
 

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Top 5 Big Data Tools & Technologies

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Big data is a concept that describes a large volume of data – both structured and unstructured. Such data is mostly recovered from business, departmental or organizational transactions that occur on a day-to-day basis.  However, the importance of data is not in its presence but the possibilities which can be explored by utilizing that data.  Big data can be analyzed for insights that lead to better decisions and strategies.  It requires the use of software tools for analyzing, processing and extracting data from extremely complex data sets. SGS Technologie recognizes this as we are a big data consulting and service offering company in Florida.  This post shares some of the tools and technologies we use, that can be regarded as among the top five big data technologies.

Apache Storm    

Apache Storm is a real-time distributed tool for processing data streams. It is written in Java and Clojure and can be integrated with any programming language. Apache Storm is incredibly fast, with the ability to process over a million records per second per node. This speed can be used and combined with other data access applications in Hadoop to block unexpected events or to optimize positive outcomes.

MongoDB

This is an open-source NoSQL database. MongoDB can be used that as an alternative to modern databases. Its core advantage is that MongDB is a document-oriented database and can be used for storing large volumes of data. Documents and collections can be used in place of rows in addition to columns.  MongoDB also supports many ad-hoc queries that include field name searches, regular expressions and range queries. 

Cassandra    

It is a distributed database management system that can handle large volumes of data across several servers. This is one of the most popular Big Data technologies which is preferred for processing structured data sets. Data can also be replicated across multiple data centers. This ensures the retrieval of data from other centers, even if data is lost or damaged in one data center.

R Programming

R is an open-source programming language that offers a dynamic development environment. Being open-source, R is a variety of built-in statistical commands. It enables the great performance of multiple statistical operations. In addition, the R language helps in generating the results of data analysis in graphical as well as text format. 

Cloudera:

This scalable platform allows you to get data from any environment very easily. It offers real-time insights for data monitoring and detection. Cloudera can be deployed across multiple platforms such as AWS, Google Cloud and Microsoft Azure.  The ability to spin or terminate data clusters ensures that you pay only for what you need and when you require it.

These are some of the many tools that can be used as part of Big Data technologies. SGS Technologie has immense expertise along with experience in using them. Reach out to us for a quick discussion on which technology will be most suitable for your big data requirements. SGS is headquartered in Jacksonville and has offices in Tallahassee (FL), Tampa (FL), Miami (FL) as well as in Frisco (TX).
 

Category : Big Data

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